Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Abstract. In this paper, we propose an orientation-matching minimization for denoising digital images with an additive noise. Inspired by the two-step algorithm in the TV-Stokes de...
— Slow convergence in the Internet can be directly attributed to the “path exploration” phenomenon, inherent in all path vector protocols. The root cause for path exploration...